Dynamic environmental efficiency analysis of China’s power generation enterprises: a game cross-Malmquist index approach

2020 ◽  
Vol 28 (2) ◽  
pp. 1697-1711
Author(s):  
Bai-Chen Xie ◽  
Yun-Fei Chen ◽  
Jie Gao ◽  
Shuang Zhang
2015 ◽  
Vol 50 (4) ◽  
pp. 1525-1537 ◽  
Author(s):  
Md. Abul Kalam Azad ◽  
Abdul Kadar Muhammad Masum ◽  
Susila Munisamy ◽  
Dilruba Fatima Sharmin

2018 ◽  
Vol 46 ◽  
pp. 126-135 ◽  
Author(s):  
Bai-Chen Xie ◽  
Jie Gao ◽  
Shuang Zhang ◽  
Rui-Zhi Pang ◽  
ZhongXiang Zhang

Author(s):  
Matthias Klumpp ◽  
Dominic Loske

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.


Author(s):  
Wei Wei ◽  
Shuangying Ding ◽  
Silin Zheng ◽  
Jingjing Ma ◽  
Tong Niu ◽  
...  

How to achieve the continuous improvement of the environmental performance level of the power industry within the requirements of clean and low-carbon energy development is the fundamental requirement and inevitable choice for the construction of ecological civilization and sustainable development. From the perspective of environmental protection, based on the Data Envelopment Analysis (DEA) method and the internal mechanism of power system production and supply, the power industry environmental efficiency evaluation index system was constructed, and the two-stage Network Slack-based Measure (NSBM) model considering undesired output was used to calculate China’s 30 provinces and municipalities from 1998 to 2019. The environmental efficiency is divided into two links: power generation efficiency and transmission and distribution efficiency. The study found that, within the research interval, the overall environmental efficiency of China’s 30 provinces is low, and the differences between provinces and cities are large, but they have gradually developed in a better direction after 2015. The power generation efficiency of the first link in most provinces and municipalities is higher than the transmission and distribution efficiency of the second link, and the low transmission and distribution efficiency is an important reason for the low comprehensive level of environmental efficiency. The overall evolution trend of environmental efficiency in the six regions of China is roughly the same, but the regional differences are obvious, showing a trend of “high in the southeast and low in the northwest”. The economic and natural resource differences in different provinces and cities in each region have led to varying degrees of redundancy in five aspects, including investment in power assets, installed power generation capacity, and length of transmission lines, which seriously affect the environmental efficiency of the power industry. This research attempts to open the “black box” of the environmental efficiency conversion process of the power industry, which can provide directions and strategic suggestions for the improvement of the efficiency of the power industry in China.


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